ToolPythonBeginner
matplotlib.pyplot.show
Python. Called in 15 tutorials; each line below leads to its place in the tutorial.
ToolPythonBeginner
Counting cells with scipy.ndimage: how many are there, and how large?
RecipePythonBeginner
Draw a phase portrait of a two-variable ODE system
ToolPythonBeginner
Eigenvalues with numpy.linalg: normal modes of coupled oscillators
ToolPythonIntermediate
Filtering with scipy.signal: mains hum and noise out of an ECG
RecipePythonBeginner
Fit a curve to data with error bars and draw a confidence band
ToolPythonBeginner
Matplotlib from the ground up: a two-panel figure for one journal column
ToolPythonBeginner
Minimization with scipy.optimize.minimize: the shape of a seven-atom cluster
ToolPythonBeginner
Numerical integration with scipy.integrate: the area under a measured peak
ToolPythonBeginner
Random numbers with numpy.random: ten thousand reproducible random walks
ConceptPythonBeginner
The Fourier transform: asking a signal how much of each frequency it contains
ToolPythonBeginner
pandas from the ground up: a week of temperature logs
ToolPythonBeginner
py-pde from the ground up: the heat equation on a square plate
ToolPythonBeginner
scipy.stats from the ground up: is the difference between two samples real?
ToolPythonIntermediate